Software Engineer II, AI

At RapidSOS, we are committed to using technology to build a safer, stronger future and working together to save lives. We’re in an exciting phase of growth, welcoming new members from across the globe to our mission-driven, ambitious, and inclusive team. Our work is founded on our values of trust and safety, pioneering, urgency, and purpose over pride, all of which support a company culture where people can innovate, collaborate, grow, and, above all, make an impact. 

RapidSOS is the leading public safety AI company that unlocks mission-critical intelligence for emergency response. It harnesses artificial and human intelligence to fuse life-saving data from the world’s largest safety network, which includes over 700M+ connected devices and 200+ global technology companies. This intelligence is delivered to 23,000+ federal, state, and local agencies, serving one million first responders. RapidSOS has supported over one billion emergencies in 16 countries, powering RapidSOS HARMONY, the first purpose-built AI for public safety, designed to save critical time by automatically detecting emergencies, unifying real-time data and video streams, and coordinating a faster, more effective response. Learn more at www.RapidSOS.com.

• →End-to-end product delivery: Own Voice AI agent(s) capabilities from problem discovery and rapid experimentation through architecture, implementation, testing, deployment, and measurement of impact across the real-time agent, APIs, web application, and cloud infrastructure.
• →Improve conversational quality: Improve the caller experience—including latency, turn-taking, barge-in, speech recognition, multilingual behavior, protocol adherence, and transfers—using production evidence and reproducible experiments.
• →Safety and reliability: Design fail-safe behaviors, strengthen service resilience and observability, and respond to production issues through contributing factors  analysis, mitigation, and prevention.
• →Evaluation and continuous improvement: Build and use automated evaluations, call-replay tools, production metrics, and controlled traffic trials to identify regressions, quantify trade-offs, and improve model and system behavior.
• →Work across the full stack, from Python backend and AI model behavior to the React/TypeScript UI that customers and operators use to configure and monitor their AI agents.
• →Use AI tools daily to move faster on code, testing, call analysis, and incident triage, while keeping full ownership of architecture, safety boundaries, and production decisions.

• 2-3+ years of back-end or full-stack engineering experience shipping production software end to end, with hands-on experience building AI/LLM applications and solid fundamentals in distributed systems, APIs, and operational reliability
• Real-time voice, streaming media, or conversational agent experience is a strong plus
• Strong Python proficiency, including async programming, with the flexibility to work full-stack, including our TypeScript/React frontend (prior experience with it a plus or open to learning)
• Ability to evaluate non-deterministic AI behavior using datasets, automated metrics, qualitative call review, controlled experiments, and clear statistical reasoning
• A genuine bias for action, balanced with care: a self-starter who moves fast with an ownership mindset, states intent rather than asks for permission, and doesn't cut corners on a safety-sensitive system
• Product-minded problem solving: able to turn ambiguous problems into simple solutions, make evidence-based trade-offs, and own the outcome rather than only the implementation
• Clear written and verbal communication along with a collaborative streak that raises the whole team's velocity
• Genuinely AI-forward: fluent with AI-assisted coding, always looking for new ways to use AI to work faster, and pushing the envelope with fresh ideas on how we can do better as a team
• Willingness to join a weekly on-call rotation and travel 1-2 times per quarter for in-person team gatherings (mostly within Europe)

#LI-Remote